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20202023
most citedMachine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

68 citations · 70 across the 4 of their papers we have counts for

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math.NA2023

VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems

Thomas Simpson, Konstantinos Vlachas, Anthony Garland +2

Reduced Order Models (ROMs) are of considerable importance in many areas of engineering in which computational time presents difficulties. Established approaches employ projection-…